1. Introduction to Data Wrangling and Data Quality 2. Introduction to Python 3. Understanding Data Quality 4. Working with File-Based and Feed-Based Data in Python 5. Accessing Web-Based Data 6. Assessing Data Quality 7. Cleaning, Transforming, and Augmenting Data 8. Structuring and Refactoring Your Code 9. Introduction to Data Analysis 10. Presenting Your Data 11. Beyond Python
1. Introduction to Data Wrangling and Data Quality 2. Introduction to Python 3. Understanding Data Quality 4. Working with File-Based and Feed-Based Data in Python 5. Accessing Web-Based Data 6. Assessing Data Quality 7. Cleaning, Transforming, and Augmenting Data 8. Structuring and Refactoring Your Code 9. Introduction to Data Analysis 10. Presenting Your Data 11. Beyond Python
Telegram is a cloud-based instant messaging service that has been making rounds as a popular option for those who wish to keep their messages secure. Telegram boasts a collection of different features, but it’s best known for its ability to secure messages and media by encrypting them during transit; this prevents third-parties from snooping on messages easily. Let’s take a look at what Telegram can do and why you might want to use it.
Telegram has exploded as a hub for cybercriminals looking to buy, sell and share stolen data and hacking tools, new research shows, as the messaging app emerges as an alternative to the dark web.An investigation by cyber intelligence group Cyberint, together with the Financial Times, found a ballooning network of hackers sharing data leaks on the popular messaging platform, sometimes in channels with tens of thousands of subscribers, lured by its ease of use and light-touch moderation.Python Work With Data from us
